Gabriele Scalia
7 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Models
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Artificial Intelligence
(3)
Optimization & Theory
(3)
Core AI
(2)
Core Methods
(2)
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(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
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Learning Paradigms
(1)
Methods
(1)
Keywords
reward function
(3)
diffusion model
(3)
reinforcement learning
(3)
conditional generation
(1)
conditional density
(1)
generative model
(1)
regret guarantee
(1)
autoregressive model
(1)
prediction set
(1)
reward model
(1)
molecular graph
(1)
model fine-tuning
(1)
uncertainty estimation
(1)
generative flow network
(1)
drug discovery
(1)
retrieval-augmented generation
(1)
model-based optimization
(1)
biological sequence
(1)
generation quality
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coverage guarantee
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Papers
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
AAAI 2026
Adding Conditional Control to Diffusion Models with Reinforcement Learning
ICLR 2025
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
NeurIPS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
AISTATS 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models
ICML 2024
GFlowNet Assisted Biological Sequence Editing
NeurIPS 2024
Improving Graph Generation by Restricting Graph Bandwidth
ICML 2023